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Bewertung und Feedback des Lernenden für Structuring Machine Learning Projects von

48,121 Bewertungen
5,521 Bewertungen

Über den Kurs

In the third course of the Deep Learning Specialization, you will learn how to build a successful machine learning project and get to practice decision-making as a machine learning project leader. By the end, you will be able to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. This is also a standalone course for learners who have basic machine learning knowledge. This course draws on Andrew Ng’s experience building and shipping many deep learning products. If you aspire to become a technical leader who can set the direction for an AI team, this course provides the "industry experience" that you might otherwise get only after years of ML work experience. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....



1. Juli 2020

While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).


1. Dez. 2020

I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.

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5326 - 5350 von 5,487 Bewertungen für Structuring Machine Learning Projects

von C. I

17. Aug. 2017

Very short, not many practical examples. Lots of repetitions.

von W S

31. Aug. 2019

Video lectures tend to be repetitious, and can be confusing.

von Anthony M

23. Okt. 2017

Practical knowledge, but I would prefer more hands on coding

von Jiheng R Z

9. Sep. 2017

Quite a few errors and ambiguities in the practice problems.

von Zingg

16. Nov. 2017

The topics are interesting however the content is off par.

von Axel G

14. Juni 2020

Good content, but very focused on Computer Vision and NLP

von Daniel D

4. Sep. 2017

The course es good, but it seems still under development.

von Juan A C A

30. Aug. 2017

It would be better if you include programming exercises.

von A M

13. Jan. 2018

It was hard to keep interested - lost focus many times

von Brandon C

6. Dez. 2018

lacking in the usual engaging programming assignments

von Varun S

23. Sep. 2018

Was expecting more scenarios for real data experience

von Jian Z

6. Nov. 2017


von Bogdan P

19. Sep. 2018

The course is OK, but it lacks programming exercises


20. Juli 2019

Learned new things but the course was boring.......

von Tzushuan W

1. Juni 2019

Wordy and too abstract without hands on experience.

von Evgeny S

5. Apr. 2018

I would rather expect a course more like a capstone

von Mirko R

4. Jan. 2021

It's been overall useful, but it's not "hard" ML.

von Rishab K

25. Apr. 2020

a assignment could be given along with the theory

von Eric H

17. Mai 2021

Very little content. Everything was common sense

von Md. S R F L C

24. Dez. 2019

More programming exercises would have been great

von Beatriz S M

14. Feb. 2018

Very general, I would like to be more specific..

von AKUT J R

16. Aug. 2020

Nice module however some repetition of content!

von Mikhail G

31. Okt. 2017

quite short, would be nice to get some practice

von Yabo L

6. März 2022

The problems in quiz are like game of wording.

von Paavan G

19. Sep. 2020

Could have included some programming exercises